{"title":"分布式空间遥测数据仓库中水平距离分区数据的在线平衡","authors":"M. Gorawski, M. Kaminski","doi":"10.1109/DEXA.2006.104","DOIUrl":null,"url":null,"abstract":"An essential issue while designing parallel database systems is to considerably minimizes the amount of response time for submitted queries. One of the system's methods to reduce the mentioned time is data load balancing. In this paper, we are going to present a trial of applying load balancing mechanism based on horizontally-range-partitioning schema to a distributed spatial telemetric data warehouse with aR-tree indexing","PeriodicalId":282986,"journal":{"name":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"On-Line Balancing of Horizontally-Range-Partitioned Data in Distributed Spatial Telemetric Data Warehouse\",\"authors\":\"M. Gorawski, M. Kaminski\",\"doi\":\"10.1109/DEXA.2006.104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An essential issue while designing parallel database systems is to considerably minimizes the amount of response time for submitted queries. One of the system's methods to reduce the mentioned time is data load balancing. In this paper, we are going to present a trial of applying load balancing mechanism based on horizontally-range-partitioning schema to a distributed spatial telemetric data warehouse with aR-tree indexing\",\"PeriodicalId\":282986,\"journal\":{\"name\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"volume\":\"222 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2006.104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2006.104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-Line Balancing of Horizontally-Range-Partitioned Data in Distributed Spatial Telemetric Data Warehouse
An essential issue while designing parallel database systems is to considerably minimizes the amount of response time for submitted queries. One of the system's methods to reduce the mentioned time is data load balancing. In this paper, we are going to present a trial of applying load balancing mechanism based on horizontally-range-partitioning schema to a distributed spatial telemetric data warehouse with aR-tree indexing
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